A unified framework for knowledge based spectrum analysis
A unified approach for the development of a knowledge-based spectral analysis system is presented. Most knowledge available in the literature is based on the comparison of one method with a few competing methods. This problem is offset by setting up performing indexes on a common framework. The impo...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on instrumentation and measurement 1990-12, Vol.39 (6), p.827-834 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 834 |
|---|---|
| container_issue | 6 |
| container_start_page | 827 |
| container_title | IEEE transactions on instrumentation and measurement |
| container_volume | 39 |
| creator | Kulubi, J.A. van Biesen, L.P. |
| description | A unified approach for the development of a knowledge-based spectral analysis system is presented. Most knowledge available in the literature is based on the comparison of one method with a few competing methods. This problem is offset by setting up performing indexes on a common framework. The importance of using psychometric tools during knowledge acquisition is discussed, and the repertory grid and ADCLUS (additive clustering) model are shown to yield adequate results. A framework for representing knowledge in spectral analysis is provided. The use strategy provides an environment where spectral analysis methodological research can be constructed.< > |
| doi_str_mv | 10.1109/19.65778 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_65778</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>65778</ieee_id><sourcerecordid>28421019</sourcerecordid><originalsourceid>FETCH-LOGICAL-c264t-96edc99a85d8b8a52e3b43a077c6475e4e00c9e54ea4c9016647f517c34a1ffc3</originalsourceid><addsrcrecordid>eNo9kM1LAzEQxYMoWKvg1dseRLxsTbLJZnMspX5AwYueQ5qdSOx-1EyX0v_e6JaeBub9eDPvEXLL6Iwxqp-YnpVSqeqMTJiUKtdlyc_JhFJW5VrI8pJcIX5TSlUp1IToeTZ0wQeoMx9tC_s-bjLfx2zT9fsG6i_I1haTiltwuzi0me1sc8CA1-TC2wbh5jin5PN5-bF4zVfvL2-L-Sp3vBS7dB9qp7WtZF2tKys5FGtRWKqUSw9IEECp0yAFWOE0ZWXaesmUK4Rl3rtiSh5G323sfwbAnWkDOmga20E_oOGV4IwyncDHEXSxR4zgzTaG1saDYdT8dWOYNv_dJPT-6GnR2SYl71zAEy9FoRXnCbsbsQAAJ3W0-AVtLWqP</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>28421019</pqid></control><display><type>article</type><title>A unified framework for knowledge based spectrum analysis</title><source>IEEE Electronic Library (IEL)</source><creator>Kulubi, J.A. ; van Biesen, L.P.</creator><creatorcontrib>Kulubi, J.A. ; van Biesen, L.P.</creatorcontrib><description>A unified approach for the development of a knowledge-based spectral analysis system is presented. Most knowledge available in the literature is based on the comparison of one method with a few competing methods. This problem is offset by setting up performing indexes on a common framework. The importance of using psychometric tools during knowledge acquisition is discussed, and the repertory grid and ADCLUS (additive clustering) model are shown to yield adequate results. A framework for representing knowledge in spectral analysis is provided. The use strategy provides an environment where spectral analysis methodological research can be constructed.< ></description><identifier>ISSN: 0018-9456</identifier><identifier>EISSN: 1557-9662</identifier><identifier>DOI: 10.1109/19.65778</identifier><identifier>CODEN: IEIMAO</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Autoregressive processes ; Data analysis ; Exact sciences and technology ; Expert systems ; Information, signal and communications theory ; Knowledge acquisition ; Knowledge based systems ; Low earth orbit satellites ; Maximum likelihood estimation ; Spectral analysis ; Statistical analysis ; Stochastic processes ; Telecommunications and information theory</subject><ispartof>IEEE transactions on instrumentation and measurement, 1990-12, Vol.39 (6), p.827-834</ispartof><rights>1992 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c264t-96edc99a85d8b8a52e3b43a077c6475e4e00c9e54ea4c9016647f517c34a1ffc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/65778$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/65778$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=5439722$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Kulubi, J.A.</creatorcontrib><creatorcontrib>van Biesen, L.P.</creatorcontrib><title>A unified framework for knowledge based spectrum analysis</title><title>IEEE transactions on instrumentation and measurement</title><addtitle>TIM</addtitle><description>A unified approach for the development of a knowledge-based spectral analysis system is presented. Most knowledge available in the literature is based on the comparison of one method with a few competing methods. This problem is offset by setting up performing indexes on a common framework. The importance of using psychometric tools during knowledge acquisition is discussed, and the repertory grid and ADCLUS (additive clustering) model are shown to yield adequate results. A framework for representing knowledge in spectral analysis is provided. The use strategy provides an environment where spectral analysis methodological research can be constructed.< ></description><subject>Applied sciences</subject><subject>Autoregressive processes</subject><subject>Data analysis</subject><subject>Exact sciences and technology</subject><subject>Expert systems</subject><subject>Information, signal and communications theory</subject><subject>Knowledge acquisition</subject><subject>Knowledge based systems</subject><subject>Low earth orbit satellites</subject><subject>Maximum likelihood estimation</subject><subject>Spectral analysis</subject><subject>Statistical analysis</subject><subject>Stochastic processes</subject><subject>Telecommunications and information theory</subject><issn>0018-9456</issn><issn>1557-9662</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1990</creationdate><recordtype>article</recordtype><recordid>eNo9kM1LAzEQxYMoWKvg1dseRLxsTbLJZnMspX5AwYueQ5qdSOx-1EyX0v_e6JaeBub9eDPvEXLL6Iwxqp-YnpVSqeqMTJiUKtdlyc_JhFJW5VrI8pJcIX5TSlUp1IToeTZ0wQeoMx9tC_s-bjLfx2zT9fsG6i_I1haTiltwuzi0me1sc8CA1-TC2wbh5jin5PN5-bF4zVfvL2-L-Sp3vBS7dB9qp7WtZF2tKys5FGtRWKqUSw9IEECp0yAFWOE0ZWXaesmUK4Rl3rtiSh5G323sfwbAnWkDOmga20E_oOGV4IwyncDHEXSxR4zgzTaG1saDYdT8dWOYNv_dJPT-6GnR2SYl71zAEy9FoRXnCbsbsQAAJ3W0-AVtLWqP</recordid><startdate>19901201</startdate><enddate>19901201</enddate><creator>Kulubi, J.A.</creator><creator>van Biesen, L.P.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>19901201</creationdate><title>A unified framework for knowledge based spectrum analysis</title><author>Kulubi, J.A. ; van Biesen, L.P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c264t-96edc99a85d8b8a52e3b43a077c6475e4e00c9e54ea4c9016647f517c34a1ffc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1990</creationdate><topic>Applied sciences</topic><topic>Autoregressive processes</topic><topic>Data analysis</topic><topic>Exact sciences and technology</topic><topic>Expert systems</topic><topic>Information, signal and communications theory</topic><topic>Knowledge acquisition</topic><topic>Knowledge based systems</topic><topic>Low earth orbit satellites</topic><topic>Maximum likelihood estimation</topic><topic>Spectral analysis</topic><topic>Statistical analysis</topic><topic>Stochastic processes</topic><topic>Telecommunications and information theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kulubi, J.A.</creatorcontrib><creatorcontrib>van Biesen, L.P.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on instrumentation and measurement</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kulubi, J.A.</au><au>van Biesen, L.P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A unified framework for knowledge based spectrum analysis</atitle><jtitle>IEEE transactions on instrumentation and measurement</jtitle><stitle>TIM</stitle><date>1990-12-01</date><risdate>1990</risdate><volume>39</volume><issue>6</issue><spage>827</spage><epage>834</epage><pages>827-834</pages><issn>0018-9456</issn><eissn>1557-9662</eissn><coden>IEIMAO</coden><abstract>A unified approach for the development of a knowledge-based spectral analysis system is presented. Most knowledge available in the literature is based on the comparison of one method with a few competing methods. This problem is offset by setting up performing indexes on a common framework. The importance of using psychometric tools during knowledge acquisition is discussed, and the repertory grid and ADCLUS (additive clustering) model are shown to yield adequate results. A framework for representing knowledge in spectral analysis is provided. The use strategy provides an environment where spectral analysis methodological research can be constructed.< ></abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/19.65778</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0018-9456 |
| ispartof | IEEE transactions on instrumentation and measurement, 1990-12, Vol.39 (6), p.827-834 |
| issn | 0018-9456 1557-9662 |
| language | eng |
| recordid | cdi_ieee_primary_65778 |
| source | IEEE Electronic Library (IEL) |
| subjects | Applied sciences Autoregressive processes Data analysis Exact sciences and technology Expert systems Information, signal and communications theory Knowledge acquisition Knowledge based systems Low earth orbit satellites Maximum likelihood estimation Spectral analysis Statistical analysis Stochastic processes Telecommunications and information theory |
| title | A unified framework for knowledge based spectrum analysis |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T03%3A32%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20unified%20framework%20for%20knowledge%20based%20spectrum%20analysis&rft.jtitle=IEEE%20transactions%20on%20instrumentation%20and%20measurement&rft.au=Kulubi,%20J.A.&rft.date=1990-12-01&rft.volume=39&rft.issue=6&rft.spage=827&rft.epage=834&rft.pages=827-834&rft.issn=0018-9456&rft.eissn=1557-9662&rft.coden=IEIMAO&rft_id=info:doi/10.1109/19.65778&rft_dat=%3Cproquest_RIE%3E28421019%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=28421019&rft_id=info:pmid/&rft_ieee_id=65778&rfr_iscdi=true |